Bayesnas: A bayesian approach for neural architecture search H Zhou, M Yang, J Wang, W Pan International conference on machine learning, 7603-7613, 2019 | 211 | 2019 |
PCA and PLS monitoring approaches for fault detection of wastewater treatment process A Chen, H Zhou, Y An, W Sun 2016 IEEE 25th International Symposium on Industrial Electronics (ISIE …, 2016 | 29 | 2016 |
Sparse Bayesian deep learning for dynamic system identification H Zhou, C Ibrahim, WX Zheng, W Pan Automatica 144, 110489, 2022 | 18 | 2022 |
Identify dominant dimensions of 3D hand shapes using statistical shape model and deep neural network Y Yang, H Zhou, Y Song, P Vink Applied Ergonomics 96, 103462, 2021 | 16 | 2021 |
Support Vector Machine-recursive feature elimination for the diagnosis of Parkinson disease based on speech analysis H Ma, T Tan, H Zhou, T Gao 2016 Seventh International Conference on Intelligent Control and Information …, 2016 | 10 | 2016 |
A sparse bayesian deep learning approach for identification of cascaded tanks benchmark H Zhou, C Ibrahim, W Pan arXiv preprint arXiv:1911.06847, 2019 | 7 | 2019 |
Fault detection and process monitoring of industrial process based on spherical kernel T-PLS Z Ren, J Hou, H Zhou IECON 2016-42nd Annual Conference of the IEEE Industrial Electronics Society …, 2016 | 6 | 2016 |
Multivariate statistic methods for predicting electricity consumption of Beijing H Yang, L Liu, H Zhou, T Gao IECON 2016-42nd Annual Conference of the IEEE Industrial Electronics Society …, 2016 | 5 | 2016 |
Modulation of transcription burst amplitude underpins dosage compensation in the Drosophila embryo L Forbes Beadle, H Zhou, M Rattray, HL Ashe Cell Reports, 2023.02. 03.526973, 2023 | 2* | 2023 |
Bayesian learning to discover mathematical operations in governing equations of dynamic systems H Zhou, W Pan arXiv preprint arXiv:2206.00669, 2022 | 2 | 2022 |
A using of just-in-time learning based data driven method in continuous stirred tank heater J Zheng, H Wang, H Zhou, T Gao 2016 Seventh International Conference on Intelligent Control and Information …, 2016 | 2 | 2016 |
Deep Learning-Based Design Model for Suction Caissons on Clay X Yin, H Wang, F Pisanò, K Gavin, A Askarinejad, H Zhou Ocean Engineering 286 (Part 1, 15 October 2023), 2023 | | 2023 |
Interpreting interface shear strength parameters for pipe-soil interaction analysis using Bayesian inference R Das, ZJ Westgate Offshore Site Investigation Geotechnics 9th International Conference …, 2023 | | 2023 |
Bayesian deep learning for system identification H Zhou | | 2022 |
A KPI prediction approach with JITL for vehicular Cyber Physical System H Zhou, H Ju, T Tan, T Gao 2016 Seventh International Conference on Intelligent Control and Information …, 2016 | | 2016 |
Key data set selection algorithm based on PLS regression in industrial process M Yang, X Yang, C Yang, H Zhou IECON 2016-42nd Annual Conference of the IEEE Industrial Electronics Society …, 2016 | | 2016 |
A data-driven KPI prediction method for vehicular cyber physical system H Zhou, A Chen, C Yang, J Yin, H Yu 2016 IEEE 25th International Symposium on Industrial Electronics (ISIE), 72-77, 2016 | | 2016 |